Firman Hadi's repositories
actinia-jupyter
Jupyter notebooks for the actinia tutorial
aitlas
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
belajar-qgis
Belajar sendiri QGIS
biocomp-book
A repo hosting the combined lectures of a course on Fundamentals of Computational Biology
cmip6-downscaling
Climate downscaling using CMIP6 data
DETER_R_AMZ
Radar Deforestation detection system based on Google Earth Engine
example-app-pdf-report
🎓 Diploma PDF Generator
ForestAZ
ForestAZ, ForestAz - Using Google Earth Engine and Copernicus Sentinel data for forest mapping, assessment and monitoring in small oceanic islands – the case-study of S. Miguel Island
foss4g2022-getting-started-rspatial
Teaching materials for R and R spatial introduction workshop at FOSS4G2022
gedi_tutorials
GEDI L3 and L4 Tutorials
GEOS657_MRS
GEOS 657 Microwave Remote Sensing (U. Alaska Fairbanks)
global_flood_mapper
This repository contains links to the Global Flood Mapper (GFM). Usage instructions are given here. For more details, please check the journal article titled "Global Flood Mapper: A novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR."
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
intro-gds
Course: Introduction to Geographic Data Science
machine-learning-geographic-data-python
Source Code for 'Machine Learning on Geographical Data Using Python' by Joos Korstanje
open-geo-tutorial
Tutorial of fundamental remote sensing and GIS methodologies using open source software in python
PelletierEtAlPNAS
This contains the Supplementary Material and Datasets of the article Pelletier et al. "Predicting plant conservation priorities on a global scale"
python4DS
Python for Data Science
research-reservoir-water-dynamics
Reconstruction of surface water dynamics in global reservoirs
rmd_workshop
Materials for a workshop on writing reproducible research papers with R Markdown
sen2like
The main goal of Sen2Like is to generate Sentinel-2 like harmonised/fused surface reflectances with higher periodicity by integrating additional compatible optical mission sensors.
Sentinel1-Sentinel2-ARD
Creates analysis read data (ARD) from sentinel data. Creates multi-modal and/or multi-temporal Sentinel-1 and Sentinel-2 ARD.
spatial-analysis-r
Open Educational Resource for teaching spatial data analysis and statistics with R
STEGO
Unsupervised Semantic Segmentation by Distilling Feature Correspondences